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Brown University’s Sc.B. in Applied Mathematics–Computer Science is an interdisciplinary degree that bridges the mathematical sciences and computer science to equip students with advanced computational, quantitative, and analytical skills. Offered through The College at Brown University, the program blends core mathematical modeling with software design, algorithmic thinking, and data analysis, enabling students to solve real-world problems across a variety of domains such as data science, finance, technology, and government.
The program offers two distinct tracks Standard and Professional, with both culminating in a capstone experience. Students benefit from Brown’s flexible curriculum, strong research environment, and access to internships and experiential learning. Graduates are well-prepared for competitive roles in software engineering, quantitative research, and advanced graduate study.
Course Overview
Prerequisites:
Two semesters of single-variable calculus
Core Curriculum (Standard Track – 17 courses):
Mathematical Requirements (8 courses):
Multivariable Calculus
Linear Algebra
Differential Equations
Numerical Analysis / Optimization / Probability & Statistics
Two 1000-level or higher APMA courses
One 1000-level or higher APMA or MATH course
Computer Science Requirements (8 courses):
Introductory programming sequence (e.g., CSCI 0150/0160 or 0170/0180)
Three foundational courses from at least three of the following clusters:
Algorithms/Theory
AI, ML & Data Science
Systems (e.g., OS or Software Engineering)
Probability & Statistics
Three additional 1000-level or higher technical CSCI electives
Capstone Requirement (1 course):
Senior-year project via capstone course, independent study, or research
Professional Track (adds to Standard Track):
2–6 months of full-time, related professional experience (e.g., internship or research)
Reflective essay submission for each experience
Honors (18 courses):
Includes two semesters of independent research and thesis under faculty supervision
Must meet specific guidelines of APMA or CS depending on advising
Capstone project in applied mathematics or computer science
Professional track includes real-world internships or research placements
Honors track allows for independent research with faculty mentorship
Collaborative opportunities with industry and academic partners
Graduates pursue top graduate programs in CS, applied math, data science, and related fields
Strong placement in industry roles including finance, tech, and government
Students benefit from Brown’s open curriculum, career services, and interdisciplinary advising
Alumni succeed in research, consulting, and high-impact technology sectors
Program emphasizes lifelong learning and cross-domain problem-solving skills
The Computer Science program at Brown University offers a flexible, interdisciplinary curriculum that empowers students to explore the full spectrum of computing while fostering creativity, critical thinking, and innovation. Known for its open curriculum, Brown encourages students to tailor their academic paths, integrating computer science with fields like mathematics, cognitive science, biology, economics, and the arts.The program builds a strong foundation in algorithms, data structures, programming languages, software engineering, and computational theory, while allowing students to dive deep into specialized areas such as artificial intelligence, machine learning, robotics, computer graphics, data science, cybersecurity, human-computer interaction, natural language processing, and the theory of computation. Students engage in hands-on research through renowned labs like the AI Lab, the Graphics Lab, and the Human-Computer Interaction Lab, collaborating closely with faculty and peers on cutting-edge projects. Located in Providence, Rhode Island, Brown offers access to a growing tech community and numerous opportunities for internships, research, and industry partnerships.The program emphasizes collaboration over competition, fostering a supportive environment where students are encouraged to take intellectual risks and pursue innovative ideas. Graduates of Brown’s Computer Science program are highly regarded for their technical expertise, creativity, and problem-solving skills, excelling in fields such as software development, AI, data analytics, research, entrepreneurship, and beyond.Admission to Brown University is through the standard undergraduate application process (Common Application or Coalition Application)International applicants must demonstrate English proficiency (e.g., TOEFL, IELTS) and submit required documentationTwo teacher evaluations/recommendationsEarly Decision applicants must submit all documents by November 1; Regular Decision deadline is January 3Official high school transcript(s) & Midyear School Report and updated transcript (when available) required.Data ScientistSoftware EngineerQuantitative AnalystComputer ConsultantResearch ScientistApplied Mathematician
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